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| 010 | _a 2018051021 | ||
| 020 | _a9789813143173 | ||
| 082 | 0 | 0 | _a006.38 BI OI |
| 245 | 0 | 0 |
_aBio-inspired computing models and algorithms _cEdited by Tao Song, Pan Zheng, Mou Ling Dennis Wong, Xun Wang |
| 260 |
_aNew Jersey : _bWorld Scientific, _cc2019. |
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| 300 |
_axvi, 282 p. : _bill. ; _c24 cm. |
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| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _aBio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and living phenomena. It is now a major subfield of natural computation that leverages on the recent advances in computer science, biology and mathematics.The ideas provide abundant inspiration to construct high-performance computing models and intelligent algorithms, thus enabling powerful tools to solve real-life problems.Written by world-renowned researchers, this compendium covers the most influential topics on BIC, where the newly-obtained algorithms, developments and results are introduced and elaborated. The potential and valuable directions for further research are addressed as well. | ||
| 650 | 0 |
_aNatural computation _935190 |
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| 700 | 1 |
_aSong, Tao, _d1983- _eEdited by _939164 |
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| 700 | 1 |
_aZheng, Pan, _eEdited by _939165 |
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| 700 | 1 |
_aWong, Dennis Ling Mou, _eEdited by _939166 |
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| 700 | 1 |
_aWang,Xun, _eEdited by _939167 |
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| 856 |
_uhttps://uowd.box.com/s/vputfhdosh2virihawmxbswm3z4qgk21 _zLocation Map |
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